scholarly journals Fifteen-year trends and differences in mortality rates across sex, age, and race/ethnicity in patients with brainstem tumors

2021 ◽  
Author(s):  
Yusuke Tomita ◽  
Yoshihiro Tanaka ◽  
Nozomu Takata ◽  
Elizabeth A Hibler ◽  
Rintaro Hashizume ◽  
...  
Keyword(s):  
Racial Differences ◽  
Age Groups ◽  
Mortality Rates ◽  
Older Age ◽  
Age Group ◽  
Younger Age ◽  
The Us ◽  
Brainstem Tumors ◽  
Race Ethnicity ◽  
Adjusted Incidence

Abstract Background Localization of tumors to the brainstem carries a poor prognosis, however, risk factors are poorly understood. We examined secular trends in mortality from brainstem tumors in the US by age, sex, and race/ethnicity. Methods We extracted age-adjusted incidence-based mortality rates of brainstem tumors from the Surveillance, Epidemiology and End Results (SEER) database between 2004 and 2018. Trends in age-adjusted mortality rate (AAMR) were compared by sex and race/ethnicity among the younger age group (0-14 years) and the older age group (>15 years) respectively. Average AAMRs in each 5-year age group were compared by sex. Results This study included 2,039 brainstem tumor-related deaths between 2004 and 2018. Trends in AAMRs were constant during the study period in both age groups, with 3 times higher AAMR in the younger age group compared to the older age group. Males had a significantly higher AAMR in the older age group, while no racial differences were observed. Intriguingly, AAMRs peaked in patients 5-9 years of age (0.57 per 100,000) and in patients 80-84 years of age (0.31 per 100,000), with lower rates among middle-aged individuals. Among 5-9 years of age, the average AAMR for females was significantly higher than that of males (p=0.017), whereas the reverse trend was seen among those 50-79 years of age. Conclusions Overall trends in AAMRs for brainstem tumors were constant during the study period with significant differences by age and sex. Identifying the biological mechanisms of demographic differences in AAMR may help understand this fatal pathology.

scholarly journals Comparison of anthropometric data quality in children aged 6-23 and 24-59 months: lessons from population-representative surveys from humanitarian settings

BMC Nutrition ◽  
2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Oleg Bilukha ◽  
Alexia Couture ◽  
Kelly McCain ◽  
Eva Leidman
Keyword(s):  
Data Quality ◽  
Age Groups ◽  
Older Age ◽  
Demographic And Health Surveys ◽  
Age Group ◽  
Anthropometric Data ◽  
Digit Preference ◽  
Anthropometric Indicators ◽  
Younger Age

Abstract Background Ensuring the quality of anthropometry data is paramount for getting accurate estimates of malnutrition prevalence among children aged 6–59 months in humanitarian and refugee settings. Previous reports based on data from Demographic and Health Surveys suggested systematic differences in anthropometric data quality between the younger and older groups of preschool children. Methods We analyzed 712 anthropometric population-representative field surveys from humanitarian and refugee settings conducted during 2011–2018. We examined and compared the quality of five anthropometric indicators in children aged 6–23 months and children aged 24–59 months: weight for height, weight for age, height for age, body mass index for age and mid-upper arm circumference (MUAC) for age. Using the z-score distribution of each indicator, we calculated the following parameters: standard deviation (SD), percentage of outliers, and measures of distribution normality. We also examined and compared the quality of height, weight, MUAC and age measurements using missing data and rounding criteria. Results Both SD and percentage of flags were significantly smaller on average in older than in younger age group for all five anthropometric indicators. Differences in SD between age groups did not change meaningfully depending on overall survey quality or on the quality of age ascertainment. Over 50% of surveys overall did not deviate significantly from normality. The percentage of non-normal surveys was higher in older than in the younger age groups. Digit preference score for weight, height and MUAC was slightly higher in younger age group, and for age slightly higher in the older age group. Children with reported exact date of birth (DOB) had much lower digit preference for age than those without exact DOB. SD, percentage flags and digit preference scores were positively correlated between the two age groups at the survey level, such as those surveys showing higher anthropometry data quality in younger age group also tended to show higher quality in older age group. Conclusions There should be an emphasis on increased rigor of training survey measurers in taking anthropometric measurements in the youngest children. Standardization test, a mandatory component of the pre-survey measurer training and evaluation, of 10 children should include at least 4–5 children below 2 years of age.

Higher Incidence of Chronic Myeloid Leukemia (CML) Among Blacks Compared to Whites in the Post-Imatinib Period (2002–2009) Corresponds with Worse Survival Observed within the Surveillance, Epidemiology and End Results 18 Registries

Blood ◽  
2012 ◽  
Vol 120 (21) ◽  
pp. 3773-3773
Author(s):  
Adam Mendizabal ◽  
Paul H Levine
Keyword(s):  
Tyrosine Kinase ◽  
Incidence Rate ◽  
Kinase Inhibitors ◽  
Age Groups ◽  
Incidence Rates ◽  
Age At Diagnosis ◽  
Age Group ◽  
Risk Of Death ◽  
Younger Age ◽  
Adjusted Incidence

Abstract Abstract 3773 Background: Age at diagnosis of CML varies by race in the United States with median occurring around ages 54 and 63 among Black and White patients, respectively. The treatment paradigm shifted when Imatinib was approved in 2001 for treatment of CML. More recently, second generation tyrosine kinase inhibitors (TKI) have also been used for treatment of CML. Differences in outcomes by race have been previously reported prior to the TKI treatment period. We aimed to assess whether the earlier age at diagnosis resulted in differential trends in age-adjusted incidence rates and survival outcomes by race in the post-Imatinib treatment period. Methods: Data from the Surveillance, Epidemiology, and End Results (SEER) 18 Registries were extracted for diagnoses between 2002 and 2009 based on the assumption that cases diagnosed after 2002 would be treated with TKI's. CML was defined according to the International Classification of Diseases for Oncology 3rd edition code 9863 (CML-NOS) and 9875 (CML-Philadelphia Chromosome Positive). Cases diagnosed by autopsy or death certificate only were excluded. Incidence rates are expressed per 100,000 person-years and age-adjusted to the 2000 US Standard Population. Black/White incidence rate ratios (IRRBW) are shown with corresponding 95% confidence intervals (CI). Kaplan-Meier estimates of CML-specific survival (CPS) and overall survival (OS) were estimated at 5-years post-diagnosis with the event being time to CML-specific death or any death, respectively. Stratified Cox proportional hazards models were constructed to assess the impact of age and race on the risk of death expressed as a hazard ratio (HR). Results: Since 2002, 6,632 patients diagnosed with CML were reported to the SEER 18 registries including 5,829 White patients (87.9%) and 803 Black patients (12.1%) with 57% being male. The age-adjusted incidence rate for Blacks was 1.18 (95% CI, 1.10–1.27) per 100,000 and 1.12 (95% CI, 1.09–1.27) per 100,000 for Whites. The corresponding IRRBW was 1.06 (95% CI, 0.98– 1.14). When considering 20-year age-groups, Blacks had higher incidence rates in the 20–39 and 40–59 age groups; IRRBW of 1.26 (95% CI, 1.06–1.49; p=0.0073) and 1.23 (95% CI, 1.09–1.39; p=0.0007), respectively. No statistically significant differences in IRRBW were seen within the 0–19, 60–79 and 80+ age-groupings although Whites have higher non-significant incidence rates in the latter 2 age-groups. Differences in IRRBW prompted an assessment of survival to determine if the excess incidence observed in the younger age groups corresponded with a worse survival. CPS at 5-years was 85.5% (95% CI, 84.3–86.6). In univariate analysis, age was an important predictor of outcome (p<0.0001) with patients diagnosed after age 80 having the worse outcomes (OS: 58.3%), followed by patients diagnosed between 60 and 79 years (OS 84.7%), 0–19 years (OS: 87.1%), 40–59 years (OS: 90.2%), and 20–39 years (OS: 92.6%). When considering all age-groups, race was not a significant predictor of death (HR 0.91; 95% CI, 0.72–1.15). However, in a stratified analysis with 20-year age groups, Blacks had an increased risk of death as compared to Whites (Figure 1) in the 20–39 age group (HR: 2.94; 95% CI, 1.72–5.26; p<0.0001) and the 40–59 age group (HR: 1.67; 95% CI, 1.22–2.27; p=0.0069) while no differences were seen within the 0–19, 60–79 and 80+ age groups. Conclusions from OS models were similar to that of the CPS models. Conclusions: Through this analysis of population-based cancer registry data collected in the US between 2002 and 2009, we show that Blacks have a younger age at diagnosis with higher incidence rates observed in the 20–39 and 40–59 age-groups as compared to Whites. Both CPS and OS outcomes differed by race and age. Similar to the differences observed with the incidence rates, survival was worse in Blacks diagnosed within the 20–39 and 40–59 age-groups as compared to Whites. Although outcomes have globally improved in patients with CML since the advent of tyrosine kinase inhibitors, the persistence of incidence heterogeneity and poorer survival among Blacks warrants further attention. Access to care may be a possible reason for the differences observed but further studies are warranted to rule out biological differences which may be causing an earlier age at onset and poorer survival. Disclosures: No relevant conflicts of interest to declare.

Prevalence of high-risk human papillomavirus in uterine cervical lesions among older Japanese women.

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. 5084-5084
Author(s):  
Kazuhiro Takehara ◽  
Hiroko Nakamura ◽  
Osamu Samura ◽  
Tomoya Mizunoe ◽  
Akihisa Saito ◽  
...  
Keyword(s):  
High Risk ◽  
Age Groups ◽  
Hpv Infection ◽  
Japanese Women ◽  
Older Age ◽  
Age Group ◽  
Hpv 16 ◽  
Younger Age ◽  
Hpv Genotypes ◽  
High Risk Hpv

5084 Background: To estimate the prevalence and genotypes of high-risk human papillomavirus (HPV) among older Japanese women, using liquid-based cytology (LBC). Methods: ThinPrep LBC specimens were collected from 11,039 Japanese women (age range, 14-98 years). After classifying cytodiagnosis, specimens were analyzed for HPV DNA using the multiplex polymerase chain reaction method. Cervical smear specimens from 1,302 women showed positive results. To examine the prevalence of HPV in women defined as negative for intraepithelial lesion or malignancy (NILM), 2,563 samples were randomly selected from the remaining 9,737 women. Comparisons were made between women ≥50 years of age (older age group) and women <50 years of age (younger age group). Written informed consent was obtained from all patients. In this study, the high-risk HPV genotypes encountered were 16, 18, 31, 33, 35, 45, 52, and 58. Results: In the older age group with abnormal smear findings, HPV genotypes were detected in 49.7% (148/298), including high-risk HPV genotypes in 40.9% (122/298). In the younger age group with abnormal smear findings, HPV genotypes were detected in 71.7% (720/1004), including high-risk HPV genotypes in 58.1% (583/1,004). In NILM, HPV-positive rates were 4.5% (39/873) in the older age group and 11.8% (199/1,690) in the younger age group. In high-grade squamous intraepithelial lesion (HSIL) or more severe cytological findings, HPV genotypes of each group (older age group/younger age group) were detected in 61.7%/83.1%, and high-risk HPV genotypes were detected in 56.4%/74.7% of women. In positive cervical smears, HPV 16 was the most frequently detected (28.5%) in the younger age group, while HPV 52 (31.3%) and 58 (27.2%) were detected more frequently than HPV 16 (18.4%) in the older age group. Conclusions: In Japan, although HPV infection as a cause of abnormal cervical cytology is more frequent among younger age groups than in older age groups, high-risk HPV infection was more highly associated with older individuals (older age group/younger age group: abnormal smear findings, 82.4%/81.0%; HSIL or more severe cytological findings, 91.3%/89.9%). In older age groups, HPV 52 and 58 were more frequent than HPV 16.

Comparison of Age at Diagnosis, Cytogenetic Risk, and Overall Survival Between Acute Myeloid Leukemia Patients of White and South Asian Race/Ethnicity in the United States

Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 3753-3753
Author(s):  
Tao Zou ◽  
Ashley M. Perry ◽  
Andrew M. Brunner ◽  
Chepsy C Philip ◽  
Donna S. Neuberg ◽  
...  
Keyword(s):  
Old Age ◽  
South Asian ◽  
South Asians ◽  
Age Distribution ◽  
Age At Diagnosis ◽  
Age Group ◽  
Asian Populations ◽  
Younger Age ◽  
The Us ◽  
Race Ethnicity

Abstract Introduction: Acute myeloid leukemia (AML) is more frequent among older patients in the United States (US), with a median age at diagnosis of 67 years old. A recent case series of AML patients from India reported a median age at diagnosis of 40 years old, suggesting that the pathogenesis of AML may differ between these populations (British Journal of Haematology 2015;170:110). In this study, we examined whether differences exist in the age at diagnosis, cytogenetic risk, and overall survival (OS) of White and South Asian patients diagnosed with AML in the US. Methods: We used the 1973-2012 Surveillance, Epidemiology, and End Results Program (SEER) database to identify adults, age 20 years or older, diagnosed with AML between 2000 and 2012. We included patients with documented race/ethnicity and known age at diagnosis. We compared age at diagnosis, cytogenetic risk, and OS according to White or South Asian race/ethnicity, based on patient surname as defined by SEER. We stratified age at diagnosis into age groups, defined as 20-24, 25-34, 35-44, 45-54, 55-64, and >65 years old, to compare the White and South Asian populations. Using the 2012 US Census population age distributions, we directly standardized the distribution of age at diagnosis of AML in SEER, weighted according to the age distribution of the total White and South Asian populations in the US. We categorized SEER-reported cytogenetic profiles as having favorable or adverse prognosis based on accepted definitions. We compared cytogenetic risk and OS between White and South Asian populations according to stratified age group at diagnosis. Differences in age at diagnosis were calculated using the Mann-Whitney test. OS was compared by the Log-rank test and estimated by the method of Kaplan and Meier. P-values <0.05 were considered significant. Results: 39,192 patients, age 20 years old and above, were diagnosed with AML from 2000 to 2012 and had documented race/ethnicity at diagnosis in the SEER database. South Asian patients in the US were diagnosed with AML at a significantly younger age compared to White patients (Figure 1A, median age at diagnosis of 57 vs. 69.5 years old for South Asians (n=265) vs. Whites (n=33,419), p=<0.0001). Along with younger age at diagnosis, South Asians had a greater reported frequency of favorable cytogenetic risk (17.7% vs. 9.7% favorable cytogenetic risk for South Asians vs. Whites). Analysis of the demographics of the US population also showed that the South Asian population was significantly younger than the White population (median age of 40 vs. 50 years old for South Asians (n=2,447,009) vs. Whites (n=172,366,410), p=<0.0001). Direct standardization of the age at AML diagnosis with the age distributions of White and South Asian census populations in the US abrogated the differences in age at diagnosis between these groups (Figure 1B, p=0.8718). Standardization by age distribution also narrowed the difference in favorable cytogenetic risk between Whites and South Asians (17.9 vs. 19.1 cases per one million people, respectively). OS was not different between Whites and South Asians in the 20-49 year old age group (median OS: 46 vs. 60 months for Whites (n=5,272) vs. South Asians (n=96), p=0.4986), the 50-64 year old age group (median OS: 13.5 vs. 16 months for Whites (n=6,066) vs. South Asians (n=62), p=0.5088), or the >65 year old age group (median OS: 3 vs. 4.5 months for Whites (n=13,692) vs. South Asians (n=66), p=0.8491). Conclusions: In the US, AML patients of South Asian descent are diagnosed at a younger age and have more favorable cytogenetic risk profiles as compared to their White counterparts, which is of epidemiologic importance. Nevertheless, these findings appear to reflect the younger age distribution of the entire South Asian population as compared to the total White population in the US, rather than a difference in the inherent biology or pathogenesis of AML. These data highlight the importance of directly standardizing age distributions in population outcomes research. Disclosures Fathi: Agios Pharmaceuticals: Other: Advisory Board participation; Merck: Other: Advisory Board participation; Seattle Genetics: Other: Advisory Board participation, Research Funding.

scholarly journals The Effect of Serum Sodium on Survival in Patients Treated by Peritoneal Dialysis in the United Kingdom

2017 ◽  
Vol 37 (1) ◽  
pp. 70-77 ◽  
Author(s):  
Asmaa Al-Chidadi ◽  
Dorothea Nitsch ◽  
Andrew Davenport
Keyword(s):  
Peritoneal Dialysis ◽  
Serum Sodium ◽  
Cox Regression ◽  
Strong Association ◽  
Age Groups ◽  
Older Age ◽  
Age Group ◽  
Younger Age ◽  
Increased Risk ◽  
The Uk

Background Studies in hemodialysis patients suggest that hyponatremia is associated with increased mortality. However, results from peritoneal dialysis (PD) patients are discordant. We wished to establish whether there was an association between serum sodium and mortality risk in PD patients. Methods We analyzed 3,108 PD patients enrolled at day 90 of renal replacement therapy (RRT) into the UK Renal Registry (UKRR) data base with available serum sodium measurements (in 3 groups: ≤ 137, 138 - 140, ≥ 141 mmol/L) who were then followed up until death or the censoring date (31 December 2012). Analysis used Cox-regression with adjustment for age, sex, year of starting RRT, primary renal disease, serum albumin, smoking, and comorbidities. Results Unadjusted mortality rates were 118.6/1,000 person-years (py), 83.4/1,000 py, and 83.5/1,000 py for the lowest, middle, and highest serum sodium tertiles, respectively. After adjustment for covariates, patients in the lowest serum sodium group had almost 50% increased risk of dying compared with those with the highest serum sodium (hazard ratio [HR] 1.49, confidence interval [CI]:1.28 - 1.74), with a graded association between serum sodium and mortality. The association of serum sodium with mortality varied by age (p interaction < 0.001), and whilst this association attenuated after adjustment for confounding variables in the older age groups (55 - 64, and > 65 years), it remained in the younger age group of 18 - 54 years (HR 2.24 [1.36 – 3.70] in the lowest compared with the highest sodium tertile). Conclusions Lower serum sodium concentrations at the start of RRT in PD patients are associated with increased risk of mortality. Whilst this association may well be due to confounding in the older age groups, the persistent strong association between hyponatremia and mortality in the younger age group after adjustment for the available confounders suggests that prospective studies are required to assess whether active intervention to maintain serum sodium changes outcomes.

Mortality of Male Members of the Danish Semiskilled Workers' Union

1980 ◽  
Vol 8 (3) ◽  
pp. 95-98 ◽  
Author(s):  
Bernard Jeune
Keyword(s):  
High Mortality ◽  
Age Groups ◽  
Mortality Rates ◽  
Chronic Illnesses ◽  
Older Age ◽  
Regional Variations ◽  
Population Effect ◽  
Younger Age ◽  
Standardized Mortality Ratios ◽  
Circulatory Diseases

The mortality of male members of the Danish Semiskilled Workers' Union in 1973 has been analysed in an earlier publication. The aim of the present study was to see if previously indicated trends are being maintained after standardizing mortality rates by county for the period 1973–75. Although regional variations are seen, standardization by county produces only slight differences in age and cause-specific standardized mortality ratios. Earlier findings of high mortality from unnatural causes among members of the Semiskilled Workers' Union, especially in younger age groups, are confirmed. Low mortality in older age groups, which show a deficit of deaths from circulatory diseases and other chronic illnesses, suggests the possibility of a survival population effect.

Changing Epidemiological Patterns in Traumatic Brain Injury: A Longitudinal Hospital-Based Study in Belgium

2017 ◽  
Vol 48 (1-2) ◽  
pp. 63-70 ◽  
Author(s):  
Wouter Peeters ◽  
Marek Majdan ◽  
Alexandra Brazinova ◽  
Daan Nieboer ◽  
Andrew I.R. Maas
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Elderly Patients ◽  
Hospital Admissions ◽  
Age Groups ◽  
Mortality Rates ◽  
Hospital Data ◽  
Younger Age ◽  
Adjusted Incidence ◽  
Over Time

Background: Various reports have suggested that epidemiological patterns of Traumatic Brain Injury (TBI) are changing in high-income countries, but the evidence to support this is often indirect and only a few longitudinal studies exist. We aimed to explore epidemiological patterns of TBI in Belgium over a 10-year period. Methods: A retrospective analysis of Minimum Hospital Data provided by Statistics Belgium was performed for the period 2003-2012. ICD-9 classification was used to identify TBI and to differentiate subtypes. The annual incidence of hospital admissions and in-hospital mortality rates were calculated and further differentiated for age, gender and cause of injury. Results: The age-adjusted incidence of hospital admissions decreased by 3.6% per year. An increase in the number of elderly patients with TBI and a decrease in the younger age groups were found. Falls now represent the main cause of TBI. A mortality rate of 6.5 per 100,000 population per year was found and did not change significantly over time. Conclusions: This longitudinal study confirms that epidemiological patterns in TBI are changing: overall incidence is steadily decreasing, but in elderly patients, the incidence is increasing. Falls are the leading cause, occurring most frequently in elderly patients. These changes are relevant for prevention.

scholarly journals Changes in Hysterectomy Route and Adnexal Removal for Benign Disease in Australia 2001–2015: A National Population-Based Study

2018 ◽  
Vol 2018 ◽  
pp. 1-6 ◽  
Author(s):  
Natalie De Cure ◽  
Stephen J. Robson
Keyword(s):  
Age Groups ◽  
Laparoscopic Hysterectomy ◽  
Abdominal Hysterectomy ◽  
Population Based ◽  
Incidence Rates ◽  
Older Age ◽  
Age Group ◽  
Female Population ◽  
Younger Women ◽  
Younger Age

Objective. Hysterectomy rates have fallen over recent years and there remains debate whether salpingectomy should be performed to reduce the lifetime risk of ovarian cancer. We examined trends in adnexal removal and route of hysterectomy in Australia between 2001 and 2015. Methods. Data were obtained from the national procedural dataset for hysterectomy approach (vaginal, VH; abdominal, AH; and, laparoscopic, LH) and rates of adnexal removal, as well as endometrial ablation. The total female population in two age groups (“younger age group,” 35 to 54 years, and “older age group,” 55 to 74 years) was obtained from the Australian Bureau of Statistics. Results. The rate of hysterectomy fell in both younger (61.7 versus 45.2/10000/year, p<0.005) and older (38.8 versus 33.2/10000/year, p<0.005) age groups. In both age groups there were significant decreases in the incidence rates for VH (by 53% in the younger age group and 29% in the older age group) and AH (by 53% and 55%, respectively). The rates of LH increased by 153% in the younger age group and 307% in the older age group. Overall, the proportion of hysterectomies involving adnexal removal increased (31% versus 65% in the younger age group, p<0.005; 44% versus 58% in the older age group, p<0.005). The increase occurred almost entirely after 2011. Conclusion. Hysterectomy is becoming less common, and both vaginal and abdominal hysterectomy are being replaced by laparoscopic hysterectomy. Removal of the adnexae is now more common in younger women.

Migraine in The Elderly: A Review

Cephalalgia ◽  
2007 ◽  
Vol 27 (2) ◽  
pp. 97-106 ◽  
Author(s):  
J Haan ◽  
J Hollander ◽  
MD Ferrari
Keyword(s):  
Age Groups ◽  
The Elderly ◽  
Older Age ◽  
Medical Attention ◽  
Clinical Aspects ◽  
Age Group ◽  
Absolute Increase ◽  
Treatment Choices ◽  
Younger Age ◽  
The Absolute

Although migraine is less prevalent in older than in younger age groups, the absolute increase in the number of subjects in older age groups may lead to an increase in the total number of migraine patients. Consequently, more elderly migraine patients may seek medical attention. In this review, the epidemiology and clinical aspects of migraine in the age group of ≥60 years are summarized, with special attention to comorbidity. The review will focus on treatment choices in elderly migraine patients. These must be based on knowledge of mechanisms of physiological and pathological ageing.

scholarly journals Risk Factors of Childhood Anemia Explained: Evidence From the 2016 National Survey

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 809-809
Author(s):  
Tafere Belay ◽  
Micaela Wakefield ◽  
Kelly Pritchett ◽  
Susan Hawk ◽  
Nigatu Regassa
Keyword(s):  
Risk Factors ◽  
Age Groups ◽  
Water Source ◽  
Older Age ◽  
Age Group ◽  
Funding Sources ◽  
Piped Water ◽  
Younger Age ◽  
Childhood Anemia ◽  
Prevalence Of Anemia

Abstract Objectives The objective of this study was to examine the key risk factors related to anemia among children aged 6–24 months (younger age group) and 25–59 months (older age group). Methods We used the 2016 Ethiopian Demographic and Health Survey data, collected from 11,023 mothers with under five children. Ordered logistic regression modeling was used for assessing risk factors of childhood anemia. Results The results suggest that the prevalence of anemia is 72% in the younger and 49% in the older age groups. The risk factors for anemia in the younger age group are morbidity (OR = 0.5; CI: 0.32–0.82), having no piped water source (OR = 1.76; CI: 1.07, 3.01) and no toilet facility (OR = 1.60; CI: 1.07, 2.38). The key risk factors for anemia in the older age group were no micronutrient intake (OR = 1.69; CI: 1.23, 2.31), having a young mother (OR = 1.35; CI: 0.84, 1.91) and a non- working mother (OR = 1.50; CI: 1.15, 1.96). Moreover, no deworming, small birth weight and residing in a large household size were key risk factors in both age groups. Conclusions Strengthening both nutrition sensitive and nutrition specific interventions may help curb the consistently higher prevalence of anemia. Intervention strategies should consider the unique characteristics of regions and rural residences where the prevalence of anemia is above the national average. Funding Sources N/A.

Sign in / Sign up

Export Citation Format

Share Document